Abstract

Aiming at the uncertain problem in analog circuit fault diagnosis, a new method based on Bayesian network is proposed. Given a set of measurements from the circuit, and a set of possible faults, the task is to calculate the probability that the faults are present. This paper then discusses the methodology for diagnosis and the associated procedures for block-level diagnosis of analogue circuits in detail. Finally, the correctness and effectiveness of this method are validated by the fault diagnosis result of a voltage regulator used car radio.

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